Background and Purpose-Data on survival and functioning after stroke needs to be supplemented by measures emphasizing the patients'subjective perception.
We studied (1) subjective well-being (SWB) as a latent variable in a common-factor model with four items, (2) the reliability of these four items, and (3) variables related to SWB in stroke patients.
Methods-Data on all stroke patients (n=1417) and a random subsample of stroke-free individuals of similar age (n=1439) were collected from the Nord-Trondelag Health Survey, a cross-sectional study of 74 977 persons.
Based on a two-sample factor analysis model, scores of SWB were calculated, and variables explaining SWB were studied in a regression model.
Four items were a priori believed to measure SWB as a latent variable ( « satisfaction, » « strength, » « calmness, » and « cheerfulness »). This was confirmed by factor analysis.
The reliability of these items (the proportion of the variance of the items that can be explained by the common factor) was between. 42 and. 53.
Regression analyses showed a significant effect of having had a stroke, gender (lower SWB in men), age (increasing SWB with increasing age), perceived general health, nervousness, loneliness, sleep problems, social support, and use of analgesics.
There was no statistical interaction between these variables and having had a stroke.
Conclusions-Higher SWB after stroke relates to female gender, older age, good general and mental health, and a firm social network.
Mots-clés Pascal : Accident cérébrovasculaire, Exploration clinique, Bien être physiologique, Fonctionnement optimal, Relation, Sexe, Age, Santé, Qualité vie, Etude statistique, Homme, Système nerveux pathologie, Système nerveux central pathologie, Encéphale pathologie, Cérébrovasculaire pathologie, Appareil circulatoire pathologie, Vaisseau sanguin pathologie
Mots-clés Pascal anglais : Stroke, Clinical investigation, Physiological wellbeing, Optimal operation, Relation, Sex, Age, Health, Quality of life, Statistical study, Human, Nervous system diseases, Central nervous system disease, Cerebral disorder, Cerebrovascular disease, Cardiovascular disease, Vascular disease
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0135682
Code Inist : 002B17C. Création : 21/07/1998.